The retina is a multilayered neural tissue at the back of the eye that converts light into electrical signals through photoreceptor cells. Several layers of cells perform the first steps of visual computation, including contrast regulation, object detection and motion perception, before sending information through the optic nerve to the brain. Beginning in 2018, we began acquiring and reconstructing a volume (1 mm*1 mm*80 µm mm3) of the mouse retina, comprising the ganglion cell layer, inner plexiform and nuclear layers, and starting with the outer plexiform layer. EyeWire II is an online community for proofreading, annotation, and scientific discovery in the new mouse retinal dataset. As of January 2025, the dataset has been segmented and proofreading has begun. The EyeWire II dataset is part of the NIH BRAIN CONNECTS project, which aims to acquire and reconstruct a large-scale connectomic volume that includes all layers of cells found in the retina.
Community of neurobiologists, computer scientists, proofreaders, and citizen scientists who map and label neurons in the EyeWire II dataset. Join and contribute community data for your lab to appear.
The core support came from National Institutes of Health (NIH), Princeton Neuroscience Institute (PNI), Simons Foundation, and Google. The acquisition infrastructure was supported by a NIH instrumentation program (S10 OD023602) and Simons Foundation. The Seung and Tank labs were supported by the NIH BRAIN Initiative (U19 NS104648, U19 NS132720, RF1 MH123400) and CONNECTS programs (UM1 NS132250). Zhihao Zheng was supported by a Pathway to Independence Award (K99 NS135650). The Seung lab receives support with compute resources from Amazon and Google.
The Seung and Tank labs were supported by the NIH BRAIN Initiative (U19 NS104648, U19 NS132720, RF1 MH123400) and CONNECTS programs (UM1 NS132250). Future mouse hippocampal formation datasets are being made possible by the BRAIN CONNECTS program.
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